S. Allassonnì-ere, Y. Amit, and A. Trouvé, Toward a Coherent Statistical Framework for Dense Deformable Template Estimation, J.R. Statist. Soc.B, vol.69, issue.1, pp.3-29, 2007.

S. Durrleman, M. Prastawa, J. R. Korenberg, S. C. Joshi, A. Trouvé et al., Topology Preserving Atlas Construction from Shape Data without Correspondence Using Sparse Parameters, Proc Med Image Comput Comput Assist Interv, 2012.
DOI : 10.1007/978-3-642-33454-2_28
URL : https://hal.archives-ouvertes.fr/hal-00818415

Y. Worbe, E. Gerardin, A. Hartmann, R. Valabrègue, M. Chupin et al., Distinct structural changes underpin clinical phenotypes in patients with Gilles de la Tourette syndrome, Brain, vol.133, issue.12, pp.3649-60, 2010.
DOI : 10.1093/brain/awq293
URL : https://hal.archives-ouvertes.fr/hal-00805386

L. Marrakchi-kacem, C. Delmaire, P. Guevara, F. Poupon, S. Lecomte et al., Mapping Cortico-Striatal Connectivity onto the Cortical Surface: A New Tractography-Based Approach to Study Huntington Disease, PLoS ONE, vol.65, issue.2, p.53135, 2013.
DOI : 10.1371/journal.pone.0053135.t002
URL : https://hal.archives-ouvertes.fr/hal-00804579

S. Durrleman, P. Fillard, X. Pennec, A. Trouvé, and N. Ayache, Registration, atlas estimation and variability analysis of white matter fiber bundles modeled as currents, NeuroImage, vol.55, issue.3, pp.1073-1090, 2011.
DOI : 10.1016/j.neuroimage.2010.11.056
URL : https://hal.archives-ouvertes.fr/hal-00816044

J. Glaunès and S. C. Joshi, Template estimation from unlabeled point set data and surfaces for Computational Anatomy, Proc International Workshop on the Mathematical Foundations of Computational Anatomy, 2006.

S. Durrleman, Statistical models of currents for measuring the variability of anatomical curves, surfaces and their evolution, 2010.
URL : https://hal.archives-ouvertes.fr/tel-00631382

H. Hufnagel, X. Pennec, J. Ehrhardt, N. Ayache, and H. Handels, Computation of a Probabilistic Statistical Shape Model in a Maximum-a-posteriori Framework, Methods of Information in Medicine, vol.48, issue.4, pp.314-319, 2009.
DOI : 10.3414/ME9228
URL : https://hal.archives-ouvertes.fr/inria-00616088

S. Kurtek, E. Klassen, Z. Ding, M. J. Avison, and A. Srivastava, Parameterizationinvariant shape statistics and probabilistic classification of anatomical surfaces, Inf Process Med Imaging, vol.22, pp.147-158, 2011.

S. H. Joshi, E. Klassen, A. Srivastava, and I. Jermyn, A Novel Representation for Riemannian Analysis of Elastic Curves in Rn, 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-7, 2007.
DOI : 10.1109/CVPR.2007.383185

T. Chen, A. Rangarajan, S. J. Eisenschenk, and B. C. Vemuri, Construction of a neuroanatomical shape complex atlas from 3D MRI brain structures, NeuroImage, vol.60, issue.3, pp.1778-1787, 2012.
DOI : 10.1016/j.neuroimage.2012.01.095

R. H. Davies, C. J. Twining, T. F. Cootes, and C. J. Taylor, Building 3-D Statistical Shape Models by Direct Optimization, IEEE Transactions on Medical Imaging, vol.29, issue.4, pp.961-981, 2010.
DOI : 10.1109/TMI.2009.2035048

K. Gorczowski, M. Styner, J. Y. Jeong, J. S. Marron, J. Piven et al., Multi-Object Analysis of Volume, Pose, and Shape Using Statistical Discrimination, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.32, issue.4, pp.652-661, 2010.
DOI : 10.1109/TPAMI.2009.92

N. Charon and A. Trouvé, Functional Currents: A New Mathematical Tool to Model and Analyse Functional Shapes, Journal of Mathematical Imaging and Vision, vol.37, issue.1, p.3564, 2012.
DOI : 10.1007/s10851-012-0413-4